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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 11673
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    Explanations

    programming code snippets related to importing modules and controls in a software development context

    oai_token-act-pair · gpt-3.5-turbo

    references to programming concepts and import statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     UFOs
    -0.73
    Reviewer
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     inaccur
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    aith
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     advis
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    sic
    -0.64
    76561
    -0.63
     undet
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     deficits
    -0.61
    oldown
    -0.61
    POSITIVE LOGITS
     implements
    0.84
    Builder
    0.83
     constructor
    0.82
     /**
    0.82
     namespace
    0.81
     alloc
    0.80
    ();
    0.77
    utils
    0.77
     isEnabled
    0.76
    Configuration
    0.75
    Activations Density 0.100%

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